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← Authors

Santiago Miret

15 papers · 2019–2025 · 5 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+9 more ↓ 🌍 Conference Polyglot (5) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸƒ Academic Marathon (6)
🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (5) πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (58) ⚑ Prolific Year (6) πŸ’Ž Century Club (15) πŸ“ˆ Trend Setter ❓ The Questioner

Conferences

ICLR (5) ICML (5) EMNLP (3) ACL (1) JMLR (1)

Top co-authors

Bang Liu (4) Shauharda Khadka (3) Yu Song (3) Somdeb Majumdar (3) Yoshua Bengio (3) Alex HernÑndez-Garcı́a (2) victor schmidt (2) Huan Zhang (2) Kagan Tumer (2) David Rolnick (2)

Research topics

Science (1)

Keywords

materials science (3) domain adaptation (2) language model (2) large language model (2) evolutionary algorithm (2) graph neural network (2) policy optimization (1) sample efficiency (1) representation learning (1) named entity recognition (1) multimodal learning (1) multi-modal learning (1) multitask learning (1) knowledge base (1) question answering (1) zero-shot learning (1) generative model (1) text classification (1) tool use (1) multi-objective optimization (1)

Papers

MatExpert: Decomposing Materials Discovery By Mimicking Human Experts ICLR 2025 Stiefel Flow Matching for Moment-Constrained Structure Elucidation ICLR 2025 SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models ICLR 2025 PhAST: Physics-Aware, Scalable, and Task-Specific GNNs for Accelerated Catalyst Design JMLR 2024 HoneyComb: A Flexible LLM-Based Agent System for Materials Science EMNLP 2024 Searching for High-Value Molecules Using Reinforcement Learning and Transformers ICLR 2024 Multi-Objective GFlowNets ICML 2023 Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model EMNLP 2023 HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science EMNLP 2023 MatSci-NLP: Evaluating Scientific Language Models on Materials Science Language Tasks Using Text-to-Schema Modeling ACL 2023 ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts ICML 2023 FAENet: Frame Averaging Equivariant GNN for Materials Modeling ICML 2023 Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning ICLR 2021 Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination ICML 2020 Collaborative Evolutionary Reinforcement Learning ICML 2019